Senior Researcher(职位编号:816129)
微软亚洲研究院 (MSRA)
- 公司规模:500-1000人
- 公司行业:计算机软件
职位信息
- 发布日期:2012-11-13
- 工作地点:北京
- 招聘人数:1
- 职位类别:高级软件工程师
职位描述
Job Category: Research
Location: China, Beijing
Job ID: 816129
Division: Microsoft Research
Responsibilities:
Microsoft Research Asia is looking for top talents in the area of Web search and mining. We are currently conducting research in the following areas: text and data mining, Web information extraction, Web structured data record extraction, new models and ranking algorithms for search, deep Web crawling and search, large-scale text classification and clustering, Web modeling, large-scale link and graph analysis, community mining and search, object-level Web search, mobile search, and media search.
Our goal is to bring the current Web search to the next level by applying data mining, machine learning, and knowledge discovery techniques to information analysis, organization, retrieval, and visualization. For example, we are working on techniques to datamine deep Web structure to enable one-stop search of multiple online databases as well as extract page layout structure to improve link analysis and relevance ranking.
We are also developing new classification and clustering techniques that are capable of handling data at Web scale and quickly adapting to new topics to cope with the dynamic nature of the Web. In contrast with the current Web search methods that essentially do document-level ranking and retrieval, we are exploring a new paradigm to enable Web search at the object level. To achieve this goal, we need to automatically discover important sub-topic structure for a query to better organize the search result, and then identify the trend and bring knowledge and intelligence to the users. We are also working on fundamental problems such as understanding the evolution of the Web and being able to model it.
Mobile search is a new domain that we are interested in. Currently our main focus is to enable information adaptation and ubiquitous access on mobile devices and also look into new user scenarios to bridge physical world search to digital world search. For media search, in additional to content-based retrieval, we are also interested in analyzing the multi-typed interrelationship between media objects and other Web content such as text, hyperlinks, deep Web structure, and user interactions for better semantic understanding and indexing of media objects.
Qualifications:
We are looking for:
- People with broad knowledge and expertise in many different areas of computer science and mathematics, including distributed systems, operating systems, data mining, information retrieval, machine learning, performance optimization, algorithms, user interface design, statistical inference and information theory, and related areas.
- People with world-class programming skills.
- People with excellent communication and organizational skills.
- People who are passionate about their work and are great colleagues.
- People with diverse interests and skills.
- Positions are open for candidates at all levels, including Software Development Engineer, Assistant Researcher, Associate Researcher, Researcher,Project Leader and Research Manager. We particularly encourage applications from senior candidates with comprehensive knowledge of Web search.
Microsoft is an equal opportunity employer and supports workforce diversity.
"
GCR:CN:DEV:EN
"
Location: China, Beijing
Job ID: 816129
Division: Microsoft Research
Responsibilities:
Microsoft Research Asia is looking for top talents in the area of Web search and mining. We are currently conducting research in the following areas: text and data mining, Web information extraction, Web structured data record extraction, new models and ranking algorithms for search, deep Web crawling and search, large-scale text classification and clustering, Web modeling, large-scale link and graph analysis, community mining and search, object-level Web search, mobile search, and media search.
Our goal is to bring the current Web search to the next level by applying data mining, machine learning, and knowledge discovery techniques to information analysis, organization, retrieval, and visualization. For example, we are working on techniques to datamine deep Web structure to enable one-stop search of multiple online databases as well as extract page layout structure to improve link analysis and relevance ranking.
We are also developing new classification and clustering techniques that are capable of handling data at Web scale and quickly adapting to new topics to cope with the dynamic nature of the Web. In contrast with the current Web search methods that essentially do document-level ranking and retrieval, we are exploring a new paradigm to enable Web search at the object level. To achieve this goal, we need to automatically discover important sub-topic structure for a query to better organize the search result, and then identify the trend and bring knowledge and intelligence to the users. We are also working on fundamental problems such as understanding the evolution of the Web and being able to model it.
Mobile search is a new domain that we are interested in. Currently our main focus is to enable information adaptation and ubiquitous access on mobile devices and also look into new user scenarios to bridge physical world search to digital world search. For media search, in additional to content-based retrieval, we are also interested in analyzing the multi-typed interrelationship between media objects and other Web content such as text, hyperlinks, deep Web structure, and user interactions for better semantic understanding and indexing of media objects.
Qualifications:
We are looking for:
- People with broad knowledge and expertise in many different areas of computer science and mathematics, including distributed systems, operating systems, data mining, information retrieval, machine learning, performance optimization, algorithms, user interface design, statistical inference and information theory, and related areas.
- People with world-class programming skills.
- People with excellent communication and organizational skills.
- People who are passionate about their work and are great colleagues.
- People with diverse interests and skills.
- Positions are open for candidates at all levels, including Software Development Engineer, Assistant Researcher, Associate Researcher, Researcher,Project Leader and Research Manager. We particularly encourage applications from senior candidates with comprehensive knowledge of Web search.
Microsoft is an equal opportunity employer and supports workforce diversity.
"
GCR:CN:DEV:EN
"
公司介绍
微软亚洲研究院是微软公司在亚太地区设立的研究机构,也是微软在美国本土以外规模最大的一个。从1998年建院到现在, 通过从世界各地吸纳而来的专家学者们的鼎力合作,微软亚洲研究院已经发展成为世界一流的计算机基础研究机构,致力于不断推动整个计算机科学领域的发展,并帮助改善人们的计算体验。
目前,微软亚洲研究院共有230多名研究和开发人员以及250多名访问学者和实习生。为实现微软公司的长远发展战略和对未来计算的美好构想,微软亚洲研究院致力于坚持不懈的从事基础的科研活动,目前主要从事五个领域的研究:
•自然用户界面
•新一代多媒体
•以数字为中心的计算
•互联网搜索与在线广告
•计算机科学基础
从微软亚洲研究院诞生出来的新技术层出不穷,它们对微软公司,甚至对整个人类社会的进步都起到了非常重要的影响。迄今为止,已有超过300项从微软亚洲研究院诞生的创新技术转移到了微软产品中,包括:Office、Windows、Bing、Visual Studio、Xbox Kinect等。
在过去的十三年里,微软亚洲研究院一直努力营造一种奋发、进取与和谐的科研环境,始终强调自由、真诚和平等,强调成员之间的相互信赖、相互尊重与相互协作。研究院鼓励研究人员树立长远眼光和富于冒险的精神;鼓励研究人员要加强与外界的交流,在第一时间接触世界领先的研究成果,倾听产业先驱的声音。微软亚洲研究院承诺与高校和科研机构开展持久而有效的合作,促进协作、激发创新、推进教育,变梦想为现实!
目前,微软亚洲研究院共有230多名研究和开发人员以及250多名访问学者和实习生。为实现微软公司的长远发展战略和对未来计算的美好构想,微软亚洲研究院致力于坚持不懈的从事基础的科研活动,目前主要从事五个领域的研究:
•自然用户界面
•新一代多媒体
•以数字为中心的计算
•互联网搜索与在线广告
•计算机科学基础
从微软亚洲研究院诞生出来的新技术层出不穷,它们对微软公司,甚至对整个人类社会的进步都起到了非常重要的影响。迄今为止,已有超过300项从微软亚洲研究院诞生的创新技术转移到了微软产品中,包括:Office、Windows、Bing、Visual Studio、Xbox Kinect等。
在过去的十三年里,微软亚洲研究院一直努力营造一种奋发、进取与和谐的科研环境,始终强调自由、真诚和平等,强调成员之间的相互信赖、相互尊重与相互协作。研究院鼓励研究人员树立长远眼光和富于冒险的精神;鼓励研究人员要加强与外界的交流,在第一时间接触世界领先的研究成果,倾听产业先驱的声音。微软亚洲研究院承诺与高校和科研机构开展持久而有效的合作,促进协作、激发创新、推进教育,变梦想为现实!
联系方式
- 公司地址:地址:spanNA